Load data from files:
library(tidyverse)
library(readxl)
library(plotly)
### Load Kynnetec AgroTrak pesticide data:
AgroTrak.CornSoy.dat <- read_excel("AgroTrak_CornSoy_v1.xlsx",
skip = 5) %>%
select(Year, Crop,
Type = "Pesticide Type",
Active.Ingredient = "Active Ingredient",
Volume.lbs = "AI volume\r\n(lb)",
Base.Area.Treated = "Base Area Treated\r\n(acres)") %>%
mutate(ai = str_replace_all(Active.Ingredient, " \\(.\\)", ""))
glimpse(AgroTrak.CornSoy.dat)
### Concordance list:
srcTab <- read_csv("cclistInEcotox.csv")
glimpse(srcTab)
srcTab %>% filter(ai == "ABAMECTIN")
### Load honey bee toxicity values from ecotox export:
ecotox.dat0 <-
read_excel("ECOTOX-Terrestrial-Export_20211207_plusManualAdd.xlsx",
sheet = "Terrestrial-Export") %>%
rename(cas.number = "CAS Number", chemName = "Chemical Name")
### Pare down ecotox values to those used in the model, and join with
### AgroTrak concordance list:
### (leaving full ecotox.dat0 just in case needed later)
ecotox.dat <- ecotox.dat0 %>%
select(source,
cas.number,
ConcType = `Conc 1 Type (Author)`,
Effect,
LifeStage = `Organism Lifestage`,
ExposureType = `Exposure Type`,
Endpoint,
ObservedDuration.d = `Observed Duration (Days)`,
ObsRespMean = `Observed Response Mean`,
ToxUnit = `Observed Response Units`) %>%
filter(Endpoint %in% c("LD50", "NOEL")) %>%
right_join(srcTab) %>%
select(-inEcoTox, -inManualAdd, -CompTox.PREFERRED_NAME)
glimpse(ecotox.dat)
Create a ranked list of pesticides by volume applied in AgroTrak:
AgroTrak.Ranked <- AgroTrak.CornSoy.dat %>%
group_by(Type, ai) %>%
summarize(Volume.lbs = round(sum(Volume.lbs, na.rm = TRUE)),
Base.Area.Treated.sum = round(sum(Base.Area.Treated,
na.rm = TRUE)),
nYears = length(unique(Year)),
Base.Area.perYear = round(Base.Area.Treated.sum / nYears),
Volume.perYear = round(Volume.lbs / nYears)) %>%
arrange(Type, -Volume.lbs)
AdultContactLD50 <- ecotox.dat %>%
filter(LifeStage == "Adult" &
ExposureType == "Dermal" &
Endpoint == "LD50") %>%
group_by(ai) %>%
mutate(checkAI = any(grepl("AI|ai|ae", ToxUnit)),
hasAI = grepl("AI|ai|ae", ToxUnit)) %>%
group_by(ai, hasAI) %>%
mutate(min.d.grp = min(abs(2 - ObservedDuration.d) + 2,
na.rm = TRUE)) %>%
filter(case_when(checkAI == TRUE ~
hasAI == TRUE & ObservedDuration.d <= min.d.grp + 2,
checkAI == FALSE ~
ObservedDuration.d <= min.d.grp +2 )) %>%
ungroup() %>%
select(-checkAI, -hasAI, -min.d.grp) %>%
group_by(ai) %>%
slice(which.min(ObsRespMean))
glimpse(AdultContactLD50)
unique(AdultContactLD50$ConcType)
unique(AdultContactLD50$ToxUnit)
AgroTrak.AdultContactLD50.Rank <- left_join(AgroTrak.Ranked, AdultContactLD50)
write_csv(AgroTrak.AdultContactLD50.Rank,
"Draft_AdultContactLD50.csv")
AdultContactLD50.summary <- AgroTrak.AdultContactLD50.Rank %>%
group_by(Type) %>%
mutate(totalVol = sum(Volume.lbs),
pctVol = Volume.lbs / totalVol * 100,
toxVal = !is.na(ObsRespMean)) %>%
#select(Type, ai, Volume.lbs, totalVol, pctVol, toxVal)
group_by(Type, toxVal) %>%
summarize(toxPct = sum(pctVol)) %>%
pivot_wider(names_from = toxVal,
values_from = toxPct) %>%
rename("missing Tox value" = `FALSE`,
"Tox value present" = `TRUE`)
AdultContactLD50.summary
## # A tibble: 3 x 3
## # Groups: Type [3]
## Type `missing Tox value` `Tox value present`
## <chr> <dbl> <dbl>
## 1 Fungicide 6.04 94.0
## 2 Herbicide 3.43 96.6
## 3 Insecticide 8.28 91.7
AdultOralLD50 <- ecotox.dat %>%
filter(LifeStage == "Adult" &
ExposureType == "Food" &
Endpoint == "LD50") %>%
group_by(ai) %>%
mutate(checkAI = any(grepl("AI|ai|ae", ToxUnit)),
hasAI = grepl("AI|ai|ae", ToxUnit)) %>%
group_by(ai, hasAI) %>%
mutate(min.d.grp = min(abs(2 - ObservedDuration.d) + 2,
na.rm = TRUE)) %>%
filter(case_when(checkAI == TRUE ~
hasAI == TRUE & ObservedDuration.d == min.d.grp,
checkAI == FALSE ~
ObservedDuration.d == min.d.grp)) %>%
ungroup() %>%
select(-checkAI, -hasAI, -min.d.grp) %>%
group_by(ai) %>%
slice(which.min(ObsRespMean))
glimpse(AdultOralLD50)
unique(AdultOralLD50$ConcType)
unique(AdultOralLD50$ToxUnit)
### ^^ There are some 'ug/bee without AI in this one.
AgroTrak.AdultOralLD50.Rank <- left_join(AgroTrak.Ranked, AdultOralLD50)
write_csv(AgroTrak.AdultOralLD50.Rank,
"Draft_AdultOralLD50.csv")
AdultOralLD50.summary <- AgroTrak.AdultOralLD50.Rank %>%
group_by(Type) %>%
mutate(totalVol = sum(Volume.lbs),
pctVol = Volume.lbs / totalVol * 100,
toxVal = !is.na(ObsRespMean)) %>%
#select(Type, ai, Volume.lbs, totalVol, pctVol, toxVal)
group_by(Type, toxVal) %>%
summarize(toxPct = sum(pctVol)) %>%
pivot_wider(names_from = toxVal,
values_from = toxPct) %>%
rename("missing Tox value" = `FALSE`,
"Tox value present" = `TRUE`)
AdultOralLD50.summary
## # A tibble: 3 x 3
## # Groups: Type [3]
## Type `missing Tox value` `Tox value present`
## <chr> <dbl> <dbl>
## 1 Fungicide 26.0 74.0
## 2 Herbicide 30.5 69.5
## 3 Insecticide 77.2 22.8
AdultOralNOEL <- ecotox.dat %>%
filter(LifeStage == "Adult" &
ExposureType == "Food" &
Endpoint == "NOEL") %>%
group_by(ai) %>%
mutate(checkAI = any(grepl("AI|ai|ae", ToxUnit)),
hasAI = grepl("AI|ai|ae", ToxUnit)) %>%
group_by(ai, hasAI) %>%
mutate(min.d.grp = min(abs(10 - ObservedDuration.d) + 10,
na.rm = TRUE)) %>%
filter(case_when(checkAI == TRUE ~
hasAI == TRUE & ObservedDuration.d == min.d.grp,
checkAI == FALSE ~
ObservedDuration.d == min.d.grp)) %>%
ungroup() %>%
select(-checkAI, -hasAI, -min.d.grp) %>%
group_by(ai) %>%
slice(which.min(ObsRespMean))
glimpse(AdultOralNOEL)
unique(AdultOralNOEL$ConcType)
unique(AdultOralNOEL$ToxUnit)
AgroTrak.AdultOralNOEL.Rank <- left_join(AgroTrak.Ranked, AdultOralNOEL)
write_csv(AgroTrak.AdultOralNOEL.Rank,
"Draft_AdultOralNOEL.csv")
AdultOralNOEL.summary <- AgroTrak.AdultOralNOEL.Rank %>%
group_by(Type) %>%
mutate(totalVol = sum(Volume.lbs),
pctVol = Volume.lbs / totalVol * 100,
toxVal = !is.na(ObsRespMean)) %>%
#select(Type, ai, Volume.lbs, totalVol, pctVol, toxVal)
group_by(Type, toxVal) %>%
summarize(toxPct = sum(pctVol)) %>%
pivot_wider(names_from = toxVal,
values_from = toxPct) %>%
rename("missing Tox value" = `FALSE`,
"Tox value present" = `TRUE`)
AdultOralNOEL.summary
## # A tibble: 3 x 3
## # Groups: Type [3]
## Type `missing Tox value` `Tox value present`
## <chr> <dbl> <dbl>
## 1 Fungicide 54.0 46.0
## 2 Herbicide 89.4 10.6
## 3 Insecticide 87.8 12.2
LarvaOralLD50 <- ecotox.dat %>%
filter(LifeStage == "Larva" &
ExposureType == "Food" &
Endpoint == "LD50") %>%
group_by(ai) %>%
mutate(checkAI = any(grepl("AI|ai|ae", ToxUnit)),
hasAI = grepl("AI|ai|ae", ToxUnit)) %>%
group_by(ai, hasAI) %>%
mutate(min.d.grp = min(abs(3 - ObservedDuration.d) + 3,
na.rm = TRUE)) %>%
filter(case_when(checkAI == TRUE ~
hasAI == TRUE & ObservedDuration.d == min.d.grp,
checkAI == FALSE ~
ObservedDuration.d == min.d.grp)) %>%
ungroup() %>%
select(-checkAI, -hasAI, -min.d.grp) %>%
group_by(ai) %>%
slice(which.min(ObsRespMean))
glimpse(LarvaOralLD50)
unique(LarvaOralLD50$ConcType)
unique(LarvaOralLD50$ToxUnit)
AgroTrak.LarvaOralLD50.Rank <- left_join(AgroTrak.Ranked, LarvaOralLD50)
write_csv(AgroTrak.LarvaOralLD50.Rank,
"Draft_LarvaOralLD50.csv")
LarvaOralLD50.summary <- AgroTrak.LarvaOralLD50.Rank %>%
group_by(Type) %>%
mutate(totalVol = sum(Volume.lbs),
pctVol = Volume.lbs / totalVol * 100,
toxVal = !is.na(ObsRespMean)) %>%
#select(Type, ai, Volume.lbs, totalVol, pctVol, toxVal)
group_by(Type, toxVal) %>%
summarize(toxPct = sum(pctVol)) %>%
pivot_wider(names_from = toxVal,
values_from = toxPct) %>%
rename("missing Tox value" = `FALSE`,
"Tox value present" = `TRUE`)
LarvaOralLD50.summary
## # A tibble: 3 x 3
## # Groups: Type [3]
## Type `missing Tox value` `Tox value present`
## <chr> <dbl> <dbl>
## 1 Fungicide 36.8 63.2
## 2 Herbicide 73.4 26.6
## 3 Insecticide 86.7 13.3
LarvaOralNOEL <- ecotox.dat %>%
filter(LifeStage == "Larva" &
ExposureType == "Food" &
Endpoint == "NOEL") %>%
group_by(ai) %>%
mutate(checkAI = any(grepl("AI|ai|ae", ToxUnit)),
hasAI = grepl("AI|ai|ae", ToxUnit)) %>%
group_by(ai, hasAI) %>%
mutate(min.d.grp = min(abs(22 - ObservedDuration.d) + 22,
na.rm = TRUE)) %>%
filter(case_when(checkAI == TRUE ~
hasAI == TRUE & ObservedDuration.d == min.d.grp,
checkAI == FALSE ~
ObservedDuration.d == min.d.grp)) %>%
ungroup() %>%
select(-checkAI, -hasAI, -min.d.grp) %>%
group_by(ai) %>%
slice(which.min(ObsRespMean))
glimpse(LarvaOralNOEL)
unique(LarvaOralNOEL$ConcType)
unique(LarvaOralNOEL$ToxUnit)
AgroTrak.LarvaOralNOEL.Rank <- left_join(AgroTrak.Ranked, LarvaOralNOEL)
write_csv(AgroTrak.LarvaOralNOEL.Rank,
"Draft_LarvaOralNOEL.csv")
LarvaOralNOEL.summary <- AgroTrak.LarvaOralNOEL.Rank %>%
group_by(Type) %>%
mutate(totalVol = sum(Volume.lbs),
pctVol = Volume.lbs / totalVol * 100,
toxVal = !is.na(ObsRespMean)) %>%
#select(Type, ai, Volume.lbs, totalVol, pctVol, toxVal)
group_by(Type, toxVal) %>%
summarize(toxPct = sum(pctVol)) %>%
pivot_wider(names_from = toxVal,
values_from = toxPct) %>%
rename("missing Tox value" = `FALSE`,
"Tox value present" = `TRUE`)
LarvaOralNOEL.summary
## # A tibble: 3 x 3
## # Groups: Type [3]
## Type `missing Tox value` `Tox value present`
## <chr> <dbl> <dbl>
## 1 Fungicide 39.1 60.9
## 2 Herbicide 73.7 26.3
## 3 Insecticide 88.1 11.9
List of active ingredients that made up greater than 1% of a group’s volume in any single year but has no adult dermal LD50 value:
CornSoyAdultContact.dat %>%
filter(is.na(RQ.pctOfType) & Volume.pctOfType > 1) %>%
distinct(Type, ai) %>%
arrange(Type)
## # A tibble: 17 x 2
## Type ai
## <chr> <chr>
## 1 Fungicide SULFUR
## 2 Fungicide TEBUCONAZOLE
## 3 Fungicide COPPER SULFATE
## 4 Fungicide TETRACONAZOLE
## 5 Fungicide FLUSILAZOLE
## 6 Fungicide PETROLEUM OIL
## 7 Fungicide PHOSPHORIC ACID
## 8 Herbicide CYANAZINE
## 9 Herbicide ACIFLUORFEN
## 10 Herbicide BENTAZONE
## 11 Herbicide FOMESAFEN
## 12 Herbicide SULFOSATE
## 13 Herbicide GLUFOSINATE
## 14 Herbicide DIMETHENAMID-P
## 15 Insecticide TEBUPIRIMPHOS
## 16 Insecticide BIFENTHRIN
## 17 Insecticide ZETA-CYPERMETHRIN
Total pesticide volume applied.
Pesticide volume applied per treated acre.
Summed honey bee risk quotient values for all pesticides.
Summed honey bee risk quotient values per treated acre.
Same RQ plots, faceted & scaled to see fungicide & herbicide trends.
| Crop | Type | ai | VolumeContrib | RQContrib | Diff.11 |
|---|---|---|---|---|---|
| Corn | Insecticide | FIPRONIL | 1.0 | 21.1 | 20.1 |
| Corn | Insecticide | CHLORPYRIFOS | 24.5 | 38.8 | 14.3 |
| Corn | Insecticide | PERMETHRIN | 1.4 | 11.9 | 10.5 |
| Corn | Insecticide | CYHALOTHRIN-LAMBDA | 1.6 | 9.3 | 7.7 |
| Corn | Insecticide | DELTAMETHRIN | 0.0 | 6.2 | 6.2 |
| Corn | Insecticide | CYFLUTHRIN | 0.8 | 5.3 | 4.5 |
| Corn | Insecticide | CYHALOTHRIN-GAMMA | 0.0 | 1.5 | 1.5 |
| Corn | Insecticide | ESFENVALERATE | 0.1 | 1.2 | 1.1 |
| Corn | Insecticide | ALPHA-CYPERMETHRIN | 0.1 | 0.9 | 0.8 |
| Corn | Insecticide | CHLORETHOXYFOS | 0.7 | 1.5 | 0.8 |
| Corn | Insecticide | INDOXACARB | 0.2 | 0.9 | 0.7 |
| Corn | Insecticide | TEFLUTHRIN | 8.2 | 8.7 | 0.5 |
| Corn | Insecticide | DIMETHOATE | 1.7 | 2.1 | 0.4 |
| Corn | Insecticide | IMIDACLOPRID | 0.1 | 0.5 | 0.4 |
| Corn | Insecticide | ABAMECTIN | 0.0 | 0.3 | 0.3 |
| Corn | Insecticide | SPINETORAM | 0.0 | 0.2 | 0.2 |
| Corn | Insecticide | CYPERMETHRIN | 0.1 | 0.2 | 0.1 |
| Corn | Insecticide | ACETAMIPRID | 0.0 | 0.0 | 0.0 |
| Corn | Insecticide | AZADIRACHTIN | 0.0 | 0.0 | 0.0 |
| Corn | Insecticide | CYFLUMETOFEN | 0.0 | 0.0 | 0.0 |
| Corn | Insecticide | DISULFOTON | 0.0 | 0.0 | 0.0 |
| Corn | Insecticide | FLUPYRADIFURONE | 0.0 | 0.0 | 0.0 |
| Corn | Insecticide | MALATHION | 0.2 | 0.2 | 0.0 |
| Corn | Insecticide | METALDEHYDE | 0.0 | 0.0 | 0.0 |
| Corn | Insecticide | PIPERONYL BUTOXIDE | 0.0 | 0.0 | 0.0 |
| Corn | Insecticide | PYRETHRINS | 0.0 | 0.0 | 0.0 |
| Corn | Insecticide | ROTENONE | 0.0 | 0.0 | 0.0 |
| Corn | Insecticide | SPINOSYN | 0.0 | 0.0 | 0.0 |
| Corn | Insecticide | SULFOXAFLOR | 0.0 | 0.0 | 0.0 |
| Corn | Insecticide | CHLORANTRANILIPROLE | 0.1 | 0.0 | -0.1 |
| Corn | Insecticide | DIAZINON | 0.1 | 0.0 | -0.1 |
| Corn | Insecticide | FENPYROXIMATE | 0.1 | 0.0 | -0.1 |
| Corn | Insecticide | FLUBENDIAMIDE | 0.1 | 0.0 | -0.1 |
| Corn | Insecticide | METHOXYFENOZIDE | 0.1 | 0.0 | -0.1 |
| Corn | Insecticide | METHOMYL | 0.2 | 0.0 | -0.2 |
| Corn | Insecticide | CARBARYL | 0.4 | 0.1 | -0.3 |
| Corn | Insecticide | ETOXAZOLE | 0.4 | 0.0 | -0.4 |
| Corn | Insecticide | PHORATE | 0.5 | 0.0 | -0.5 |
| Corn | Insecticide | METHYL PARATHION | 1.3 | 0.7 | -0.6 |
| Corn | Insecticide | ETHOPROPHOS | 0.9 | 0.1 | -0.8 |
| Corn | Insecticide | HEXYTHIAZOX | 0.8 | 0.0 | -0.8 |
| Corn | Insecticide | ACEPHATE | 1.7 | 0.3 | -1.4 |
| Corn | Insecticide | SPIROMESIFEN | 1.4 | 0.0 | -1.4 |
| Corn | Insecticide | CARBOFURAN | 5.5 | 4.0 | -1.5 |
| Corn | Insecticide | SULFUR | 4.4 | 0.0 | -4.4 |
| Corn | Insecticide | TERBUFOS | 8.7 | 0.4 | -8.3 |
| Corn | Insecticide | PROPARGITE | 30.8 | 0.1 | -30.7 |
| Corn | Insecticide | BACILLUS THURINGIENSIS | 0.2 | NaN | NaN |
| Corn | Insecticide | BIFENTHRIN | 6.7 | NaN | NaN |
| Corn | Insecticide | HARPIN PROTEIN | 0.0 | NaN | NaN |
| Corn | Insecticide | TEBUPIRIMPHOS | 6.9 | NaN | NaN |
| Corn | Insecticide | ZETA-CYPERMETHRIN | 0.3 | NaN | NaN |
| Crop | Type | ai | VolumeContrib | RQContrib | Diff.11 |
|---|---|---|---|---|---|
| Soybeans | Insecticide | CYHALOTHRIN-LAMBDA | 6.2 | 17.8 | 11.6 |
| Soybeans | Insecticide | DELTAMETHRIN | 0.1 | 6.0 | 5.9 |
| Soybeans | Insecticide | ESFENVALERATE | 1.0 | 5.8 | 4.8 |
| Soybeans | Insecticide | CYFLUTHRIN | 1.5 | 5.6 | 4.1 |
| Soybeans | Insecticide | THIAMETHOXAM | 0.7 | 4.4 | 3.7 |
| Soybeans | Insecticide | CYHALOTHRIN-GAMMA | 0.2 | 3.5 | 3.3 |
| Soybeans | Insecticide | PERMETHRIN | 0.8 | 3.5 | 2.7 |
| Soybeans | Insecticide | SPINOSYN | 0.0 | 1.7 | 1.7 |
| Soybeans | Insecticide | ABAMECTIN | 0.0 | 1.1 | 1.1 |
| Soybeans | Insecticide | ALPHA-CYPERMETHRIN | 0.2 | 1.0 | 0.8 |
| Soybeans | Insecticide | IMIDACLOPRID | 1.6 | 2.3 | 0.7 |
| Soybeans | Insecticide | SPINETORAM | 0.2 | 0.8 | 0.6 |
| Soybeans | Insecticide | FIPRONIL | 0.0 | 0.6 | 0.6 |
| Soybeans | Insecticide | CLOTHIANIDIN | 0.1 | 0.6 | 0.5 |
| Soybeans | Insecticide | INDOXACARB | 0.2 | 0.3 | 0.1 |
| Soybeans | Insecticide | AFIDOPYROPEN | 0.0 | 0.0 | 0.0 |
| Soybeans | Insecticide | ETOXAZOLE | 0.0 | 0.0 | 0.0 |
| Soybeans | Insecticide | PIPERONYL BUTOXIDE | 0.0 | 0.0 | 0.0 |
| Soybeans | Insecticide | PYRETHRINS | 0.0 | 0.0 | 0.0 |
| Soybeans | Insecticide | ROTENONE | 0.0 | 0.0 | 0.0 |
| Soybeans | Insecticide | SULFOXAFLOR | 0.2 | 0.2 | 0.0 |
| Soybeans | Insecticide | TRALOMETHRIN | 0.0 | 0.0 | 0.0 |
| Soybeans | Insecticide | CYPERMETHRIN | 0.3 | 0.2 | -0.1 |
| Soybeans | Insecticide | ACETAMIPRID | 0.1 | 0.0 | -0.1 |
| Soybeans | Insecticide | DICROTOPHOS | 0.1 | 0.0 | -0.1 |
| Soybeans | Insecticide | FLUPYRADIFURONE | 0.1 | 0.0 | -0.1 |
| Soybeans | Insecticide | NOVALURON | 0.1 | 0.0 | -0.1 |
| Soybeans | Insecticide | CARBOFURAN | 0.4 | 0.2 | -0.2 |
| Soybeans | Insecticide | DIFLUBENZURON | 0.2 | 0.0 | -0.2 |
| Soybeans | Insecticide | METHOMYL | 0.2 | 0.0 | -0.2 |
| Soybeans | Insecticide | DIMETHOATE | 0.7 | 0.4 | -0.3 |
| Soybeans | Insecticide | METHYL PARATHION | 0.7 | 0.3 | -0.4 |
| Soybeans | Insecticide | MALATHION | 1.3 | 0.9 | -0.4 |
| Soybeans | Insecticide | THIODICARB | 0.5 | 0.0 | -0.5 |
| Soybeans | Insecticide | METHOXYFENOZIDE | 0.6 | 0.0 | -0.6 |
| Soybeans | Insecticide | BIFENAZATE | 0.9 | 0.0 | -0.9 |
| Soybeans | Insecticide | CARBARYL | 1.5 | 0.2 | -1.3 |
| Soybeans | Insecticide | FLUBENDIAMIDE | 1.6 | 0.0 | -1.6 |
| Soybeans | Insecticide | PHORATE | 1.7 | 0.0 | -1.7 |
| Soybeans | Insecticide | ALDICARB | 3.1 | 1.1 | -2.0 |
| Soybeans | Insecticide | CHLORANTRANILIPROLE | 2.2 | 0.0 | -2.2 |
| Soybeans | Insecticide | CHLORPYRIFOS | 47.7 | 45.2 | -2.5 |
| Soybeans | Insecticide | SULFUR | 3.0 | 0.0 | -3.0 |
| Soybeans | Insecticide | CHLOROPICRIN | 4.8 | 0.0 | -4.8 |
| Soybeans | Insecticide | DICHLOROPROPENE | 8.4 | 0.0 | -8.4 |
| Soybeans | Insecticide | ACEPHATE | 23.6 | 2.3 | -21.3 |
| Soybeans | Insecticide | BACILLUS THURINGIENSIS | 0.1 | NaN | NaN |
| Soybeans | Insecticide | BIFENTHRIN | 7.1 | NaN | NaN |
| Soybeans | Insecticide | HARPIN PROTEIN | 0.0 | NaN | NaN |
| Soybeans | Insecticide | POLYHEDROSIS VIRUS | 0.1 | NaN | NaN |
| Soybeans | Insecticide | ZETA-CYPERMETHRIN | 0.7 | NaN | NaN |